AI Agent Skills

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

ThingsGateway is a cross-platform, high-performance gateway for edge data acquisition and IoT connectivity. Developed with .NET 8, it offers a suite of powerful tools, i…

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

Extended Ralph loop for autonomous AI-driven plan execution

A collection of autonomous agents 🤖️ powered by LLM.

Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and co…

Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking…

cdebug - a swiss army knife of container debugging

This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention me…

Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.

The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.

Build and run autonomous AI agents for open-ended tasks

Essential skills for autonomous agents

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant